ORIGINAL_ARTICLEActions of S on C0(X) and ideals of C0(X) ×α SSome partial action properties of a group 􀜩 on a 􀜥􀗛-algebra 􀜣 are extended to an action of a unital inverse semigroup 􀜵 on 􀜥􀬴􁈺􀜺􁈻. Also, invariant and quotient ideals of 􀜥􀬴􁈺􀜺􁈻 􀵈􀰈 􀜵 are considered.http://ijsts.shirazu.ac.ir/article_2256_ca07f21640fb21bdeaaee05f70f8d327.pdf2014-09-01T11:23:202018-08-15T11:23:2019920310.22099/ijsts.2014.2256partial actionpartial homeomorphismpartial automorphism and partial crossed productB.Tabatabaie Shourijehtrue1Department of Mathematics, College of Sciences, Shiraz University, Shiraz 71454, IranDepartment of Mathematics, College of Sciences, Shiraz University, Shiraz 71454, IranDepartment of Mathematics, College of Sciences, Shiraz University, Shiraz 71454, IranLEAD_AUTHORS. M.Zebarjadtrue2Department of Mathematics, College of Sciences, Shiraz University, Shiraz 71454, IranDepartment of Mathematics, College of Sciences, Shiraz University, Shiraz 71454, IranDepartment of Mathematics, College of Sciences, Shiraz University, Shiraz 71454, IranAUTHORORIGINAL_ARTICLERadial basis functions and FDM for solving fractional diffusion-wave equationIn this work, we apply the radial basis functions for solving the time fractional diffusion-wave equation defined by Caputo sense for . The problem is discretized in the time direction based on finite difference scheme and is continuously approximated by using the radial basis functions in the space direction which achieves the semi-discrete solution. Numerical results show the accuracy and efficiency of the presented method.http://ijsts.shirazu.ac.ir/article_2260_5b82563f80ecf2bd69ae63a94af20781.pdf2014-09-01T11:23:202018-08-15T11:23:2020521210.22099/ijsts.2014.2260Diffusion-wave equationFractional derivativeRadial basis functionsfinite difference schemeZ.Avazzadehtrue1State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of
Mechanics and Materials, Hohai University, Nanjing 210098, ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of
Mechanics and Materials, Hohai University, Nanjing 210098, ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of
Mechanics and Materials, Hohai University, Nanjing 210098, ChinaLEAD_AUTHORV. R.Hosseinitrue2State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of
Mechanics and Materials, Hohai University, Nanjing 210098, ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of
Mechanics and Materials, Hohai University, Nanjing 210098, ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of
Mechanics and Materials, Hohai University, Nanjing 210098, ChinaAUTHORW.Chentrue3State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of
Mechanics and Materials, Hohai University, Nanjing 210098, ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of
Mechanics and Materials, Hohai University, Nanjing 210098, ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of
Mechanics and Materials, Hohai University, Nanjing 210098, ChinaAUTHORORIGINAL_ARTICLEOn the first extended zeroth-order connectivity index of treesThe first extended zeroth-order connectivity index of a graph
G is defined as 0 1/2
1
( )
( ) ,
v
v V G

G D


 where
V
(G) is the vertex set of G, and v D is the sum of degrees of neighbors of vertex v in G. We give a sharp
lower bound for the first extended zeroth-order connectivity index of trees with given numbers of vertices and
pendant vertices, and characterize the extremal trees. We also determine the
n-vertex trees with the first three
smallest first extended zeroth-order connectivity indices.http://ijsts.shirazu.ac.ir/article_2263_ad3da8d3561d639d9656cdcd4459f474.pdf2014-09-01T11:23:202018-08-15T11:23:2021321910.22099/ijsts.2014.2263Zeroth-order connectivity indexextended zeroth-order connectivity indextrees, pendant verticesdegree of verticesB.Zhoutrue12Department of Mathematics, South China Normal University, Guangzhou 510631, P. R. China2Department of Mathematics, South China Normal University, Guangzhou 510631, P. R. China2Department of Mathematics, South China Normal University, Guangzhou 510631, P. R. ChinaLEAD_AUTHORS.Wangtrue2Department of Mathematics, Louisiana State University, Baton Rouge, LA 70803-4918, USADepartment of Mathematics, Louisiana State University, Baton Rouge, LA 70803-4918, USADepartment of Mathematics, Louisiana State University, Baton Rouge, LA 70803-4918, USAAUTHORORIGINAL_ARTICLEIsolation, identification, biochemical properties and potential application of an organic solvent-tolerant lipase from Pseudomonas sp. strain NEB-1Using enrichment procedures, 45 organic solvent-tolerant lipase producer bacterial strains were screened from
areas contaminated by oil and organic solvents. Among the strains, 15 isolates exhibited extreme stability toward
organic solvents and high lipolytic activity. The NEB-1 isolate which was later identified as
Pseudomonas sp.
strain NEB-1 by biochemical tests and 16S rDNA gene sequence analysis was selected based on extremely high
tolerance to organic solvents and maximum lipase production. Biochemical studies revealed that the crude lipase
was stable at temperatures between 20 ºC and 60 ºC and pH ranges of 4 to 11 for 1 h. Optimum pH and
temperature of the enzyme were revealed to be 9.5 and 70 ºC, respectively. The crude lipase showed remarkable
tolerance in presence of different organic solvents with a broad range of hydrophobicity characteristics. The
solvent stable lipase showed an attractive potency for application in biocatalysis in non-aqueous systems and
biodiesel production.http://ijsts.shirazu.ac.ir/article_2264_531d24842fbb6f7941faca84d8ff07f0.pdf2014-04-16T11:23:202018-08-15T11:23:2022122910.22099/ijsts.2014.2264Organic solvent-tolerant lipasePseudomonas spScreening methodsStabilityBiodieselM.Abdollahitrue1Molecular Biotechnology Lab., Department of Biology, Faculty of Sciences,
Shiraz University, Shiraz 71454, IranMolecular Biotechnology Lab., Department of Biology, Faculty of Sciences,
Shiraz University, Shiraz 71454, IranMolecular Biotechnology Lab., Department of Biology, Faculty of Sciences,
Shiraz University, Shiraz 71454, IranAUTHORH. R.Karbalaei-Heidaritrue2Institute of Biotechnology, Shiraz University, Shiraz, IranInstitute of Biotechnology, Shiraz University, Shiraz, IranInstitute of Biotechnology, Shiraz University, Shiraz, IranLEAD_AUTHORORIGINAL_ARTICLEUptake of mercury by a bacterium, Pseudomonas sp. AN29, isolated from industrial effluents and its potential use in wastewater treatmentThe present study is aimed at assessing the ability of
Pseudomonas sp. AN29 to uptake Hg2+ from the metal
contaminated environment. The minimum inhibitory concentration (MICs) of Hg
2+ was 500 μg/ml. Pseudomonas
sp. AN29 could tolerate Pb
2+ (600 g/ml), Cu2+ (200 g/ml), Cd2+ (50 g/ml), Zn2+ (50 g/ml), Ni2+ (550 g/ml)
and Cr
6+ (150 g/ml). The isolate showed typical growth curve but phases (lag and log) extended in the presence
of mercury. Bacterial isolate showed optimum growth at 37ºC and at pH of 8. Metal processing ability of the
isolate was determined in a medium containing 100 μg/ml of Hg
2+. Pseudomonas sp. AN29 could decrease 85%
of mercury from the culture medium after 40 hours and was also able to remove Hg
2+ 10%, 40%, 50% and 56%
from the growth medium after 8, 16, 24 and 32 hours, respectively.
Pseudomonas sp. AN29 was also able to
uptake 74% of Hg
2+ (pellet) from the medium after 24 hours of incubation at 37oC. Excellent metal uptake ability
of
Pseudomonas sp. AN29 indicates the possibility of using the bacterial strain for the removal of mercury from
metal-contaminated wastewater.http://ijsts.shirazu.ac.ir/article_2265_c12490f5bbfd1d87593642d089ec82e1.pdf2014-09-01T11:23:202018-08-15T11:23:2023123710.22099/ijsts.2014.2265Heavy metal resistancemercuryPseudomonas sp. AN29UptakewastewaterbioremediationA.Aliatali71@yahoo.comtrue1Department of Microbiology and Molecular Genetics, University of the Punjab,
New Campus, Lahore 54590, PakistanDepartment of Microbiology and Molecular Genetics, University of the Punjab,
New Campus, Lahore 54590, PakistanDepartment of Microbiology and Molecular Genetics, University of the Punjab,
New Campus, Lahore 54590, PakistanAUTHORA.Rehmantrue2Department of Microbiology and Molecular Genetics, University of the Punjab,
New Campus, Lahore 54590, PakistanDepartment of Microbiology and Molecular Genetics, University of the Punjab,
New Campus, Lahore 54590, PakistanDepartment of Microbiology and Molecular Genetics, University of the Punjab,
New Campus, Lahore 54590, PakistanLEAD_AUTHORORIGINAL_ARTICLEOn L2 convergence of the maximum weighted pairwise likelihood estimators in the AR(1) modelsRecently, the strong consistency and asymptotic distribution for the maximum consecutive pairwise likelihood
estimators (MCPLE) have been established in the linear time series models. In this paper, the weak convergence
of the maximum weighted pairwise likelihood estimator (MWPLE) of the parameters of the AR(1) models is
established by using the concept of
􀜮􀬶 convergence (convergence in mean square).http://ijsts.shirazu.ac.ir/article_2266_b9286ab2465088fe745eedc3e6565554.pdf2014-09-01T11:23:202018-08-15T11:23:2023924110.22099/ijsts.2014.2266Pairwise likelihoodcomposite likelihoodautoregressive processL2 convergenceM. R.Kazemitrue1Department of Statistics, College of Sciences, Fasa University, Fasa, IranDepartment of Statistics, College of Sciences, Fasa University, Fasa, IranDepartment of Statistics, College of Sciences, Fasa University, Fasa, IranLEAD_AUTHORA. R.Nematollahitrue2Department of Statistics, College of Sciences, Shiraz University, Shiraz, IranDepartment of Statistics, College of Sciences, Shiraz University, Shiraz, IranDepartment of Statistics, College of Sciences, Shiraz University, Shiraz, IranAUTHORORIGINAL_ARTICLEAn unusual assemblage of talc-phengite-chlorite-K-feldspar in quartz schists from the Nahavand area, Sanandaj-Sirjan zone, IranFor the first time, an unusual assemblage of talc-phengite-chlorite-K-feldspar was found in quartz schists from the
Sanandaj-Sirjan zone in the Nahavand area in western Iran. The talc-bearing quartz schists occur as small bodies
or lenses within pelitic schist layers and contain talc, phengite, chlorite, K-feldspar and quartz as major mineral
constituents with subordinate amounts of calcite and graphite. Textural analysis revealed that talc, phengite,
chlorite and K-feldspar are in sharp contact and no reaction rims between them were observed. Constructed
petrogenetic gird in the K
2O-FeO-MgO-Al2O3-SiO2-H2O (KFMASH) model system containing talc, phengite,
chlorite, K-feldspar, phlogopite and kyanite with excess quartz and H
2O shows that divariant assemblage of talcphengite-
chlorite-K-feldspar is stable over a wide P-T range defined by the following two univariant reactions:
phengite + talc + quartz = chlorite + K-feldspar + kyanite + H
2O and chlorite + phlogopite + quartz = talc +
phengite + K-feldspar + H
2O. Constructed Al2O3-KAlO2-MgO+FeO (AKM) compatibility diagrams predict that
phengite (X
Ph = 0.280, YPh = 0.860), chlorite (XChl = 0.570, YChl = 0.640), talc (XTlc = 0.160, YTlc = 0.02) and Kfeldspar
are stable at P = 11 kbar and T = 400°C. This relatively high-pressure assemblage could be formed during
the subduction of the Neo-Tethys oceanic plate under Iranian microcontinent.http://ijsts.shirazu.ac.ir/article_2267_097a52546c1e1a651e40284e47493b80.pdf2014-09-01T11:23:202018-08-15T11:23:2024325210.22099/ijsts.2014.2267High-pressure metamorphismNahavandSanandaj-Sirjan zoneTalc-phengite-K-felds parassemblageJ.Izadyartrue1Department of Geology, University of Zanjan, University Blvd., Zanjan, IranDepartment of Geology, University of Zanjan, University Blvd., Zanjan, IranDepartment of Geology, University of Zanjan, University Blvd., Zanjan, IranLEAD_AUTHORS.Mojabtrue2Department of Geology, University of Zanjan, University Blvd., Zanjan, IranDepartment of Geology, University of Zanjan, University Blvd., Zanjan, IranDepartment of Geology, University of Zanjan, University Blvd., Zanjan, IranAUTHORO.Kuroshitrue3Department of Geology, University of Zanjan, University Blvd., Zanjan, IranDepartment of Geology, University of Zanjan, University Blvd., Zanjan, IranDepartment of Geology, University of Zanjan, University Blvd., Zanjan, IranAUTHORM.Zaretrue4Department of Geology, University of Zanjan, University Blvd., Zanjan, IranDepartment of Geology, University of Zanjan, University Blvd., Zanjan, IranDepartment of Geology, University of Zanjan, University Blvd., Zanjan, IranAUTHORORIGINAL_ARTICLEApplications of microwave oven and microwave furnace heat resources on phase transformation: A research study on red sediment placer ilmeniteMicrowave energy has potential for the efficient heating of minerals. Minerals or materials, which couple to
microwave energy are called dielectrics and many valuable minerals are found to be dielectric. The mineral
ilmenite is one which shows good dielectric heating characteristics. In this paper, the effect of microwave heat
energy on the partial reduction of oxidized ilmenite oxidized in a conventional muffle furnace at 900°C for 3 hours
is attempted. Carbon as an additive was used for reduction of ilmenite at different time intervals using microwave
oven as well as microwave sintering furnace. The results indicate that at one minute, the metallic iron formed
contained 0.39% and no observation in mineral phases was observed from microwave oven. At three minutes
duration, a partial phase transformation of ilmenite was observed and the metallic iron contained is 1.65%.
Interestingly, at six minutes duration a distinct metallic iron phase containing 32% metallic iron is seen in
microwave oven. The result of preliminary investigations from microwave sintering furnace indicates that apart
from metallic iron phase, the distinct Titania phase was also observed. Further studies are in progress.http://ijsts.shirazu.ac.ir/article_2268_bbdf1447b001cd9030b8103ee98de7e6.pdf2014-09-01T11:23:202018-08-15T11:23:2025325610.22099/ijsts.2014.2268Microwave heat energyilmeniteReductionoxidizationmetallic ironcarbonXRDS.Sai Srikanttrue1Department of Electronics and Communication Engineering SRM University,
Modinagar, Ghaziabad, 201204, IndiaDepartment of Electronics and Communication Engineering SRM University,
Modinagar, Ghaziabad, 201204, IndiaDepartment of Electronics and Communication Engineering SRM University,
Modinagar, Ghaziabad, 201204, IndiaLEAD_AUTHORP. S.Mukherjeetrue2IMMT-CSIR, Bhubaneswar 751013, IndiaIMMT-CSIR, Bhubaneswar 751013, IndiaIMMT-CSIR, Bhubaneswar 751013, IndiaAUTHORR.Bhima Raotrue3Aryan Institute of Engineering and Technology, BPUT University, Bhubaneswar, Odisha, IndiaAryan Institute of Engineering and Technology, BPUT University, Bhubaneswar, Odisha, IndiaAryan Institute of Engineering and Technology, BPUT University, Bhubaneswar, Odisha, IndiaAUTHORORIGINAL_ARTICLEComparison of solid waste management scenarios based on life cycle analysis and multi-criteria decision making (Case study: Isfahan city)Life cycle assessment (LCA) is one of the decision support systems which can be considered for assessing the
different approaches of Waste Management. However, it only considers environmental effects and ignores other
decision making options such as economic and social effects of solid waste management. In this research, we
consider a combination of three decision making options including environmental, economic and social effects to
compare current waste management system to six alternative scenarios for selecting the best scenario of solid
waste management for Isfahan city where a total of approximately 1000 tons/day of waste is generated. SimaPro7
libraries through Eco-Indictor 99 method were used to obtain background data for the life cycle inventory and
assessing mid and end points of environmental impacts. One ton of municipal solid waste of Isfahan was selected
as the functional unit. Output of LCA along Economic and social effects were compared with Technique for Order
Preference by Similarity to Ideal Solution method. According to Multi-criteria Decision Making, S5 and S1
(recycling, composting and landfilling) were selected as best scenario in terms of lower environmental impacts
(human health, ecosystem quality and resources) and finance requirements.http://ijsts.shirazu.ac.ir/article_2271_00f7ac2b9bc2fcc615f9a863a2cddff3.pdf2014-09-01T11:23:202018-08-15T11:23:2025726410.22099/ijsts.2014.2271Waste Management Scenariolife cycle assessmentTOPSISIsfahanM.Kermanitrue1Science and Research branch, Islamic Azad University, Tehran, IranScience and Research branch, Islamic Azad University, Tehran, IranScience and Research branch, Islamic Azad University, Tehran, IranLEAD_AUTHORJ.Nouritrue2Science and Research branch, Islamic Azad University, Tehran, IranScience and Research branch, Islamic Azad University, Tehran, IranScience and Research branch, Islamic Azad University, Tehran, IranAUTHORGh.Ali Omranitrue3Science and Research branch, Islamic Azad University, Tehran, IranScience and Research branch, Islamic Azad University, Tehran, IranScience and Research branch, Islamic Azad University, Tehran, IranAUTHORR.Arjmanditrue4Science and Research branch, Islamic Azad University, Tehran, IranScience and Research branch, Islamic Azad University, Tehran, IranScience and Research branch, Islamic Azad University, Tehran, IranAUTHORORIGINAL_ARTICLEDynamics and bifurcations of a Lotka-Volterra population modelThis paper investigates the dynamics and stability properties of a discrete-time Lotka-Volterra type system. We ﬁrst analyze stability of the ﬁxed points and the existence of local bifurcations. Our analysis shows the presence of rich variety of local bifurcations, namely, stable ﬁxed points; in which population numbers remain constant, periodic cycles; in which population numbers oscillate among a ﬁnite number of values; quasi-periodic cycles; which are constraint to stable attractor called invariant closed curve, and chaos, where population numbers change erratically. Our study is based on the numerical continuation method under variation of one and two parameters and computing diﬀerent bifurcation curves of the system and its iterations. For the all codimension 1 and codimension 2 bifurcation points, we compute the corresponding normal form coeﬃcients to reveal criticality of the corresponding bifurcations as well as to identify diﬀerent bifurcation curves which emerge around the corresponding bifurcation point. In particular we compute a dense array of resonance Arnol’d tongue corresponding to quasi-periodic invariant circles rooted in weakly resonant Neimark-Sacker associated to multiplier with frequency . We further perform numerical simulations to characterize qualitatively diﬀerent dynamical behaviors within each regime of parameter space.http://ijsts.shirazu.ac.ir/article_2272_402c555300fb2d3f83255a739108a17f.pdf2014-09-01T11:23:202018-08-15T11:23:2026527910.22099/ijsts.2014.2272Normal formsstable cyclescodimension of bifurcationcenter manifoldR.Khoshsiar Ghazianitrue1Department of Applied Mathematics, Shahrekord University, P. O. Box 115, Shahrekord, IranDepartment of Applied Mathematics, Shahrekord University, P. O. Box 115, Shahrekord, IranDepartment of Applied Mathematics, Shahrekord University, P. O. Box 115, Shahrekord, IranLEAD_AUTHORORIGINAL_ARTICLEA possible link between mineralogy of loess deposits and high incidence rate of esophageal cancer in Golestan province of IranLoess and loess-like deposits cover large areas of Golestan province of Iran, a well-known region in the world for its high incidence rate of esophageal cancer (EC). Despite numerous published works on the possible contributing factors for the observed high incidence rate, very little attention has been given so far to a possible link between the mineralogy of loess deposits in the region and EC incidence rate. This paper tries to investigate in a medical geology context a probable link between the mineralogical composition, grain size distribution, and surface morphology of constituent minerals in loess deposits of Golestan province, and the observed high incidence rate of EC. To achieve this end, loess samples from two districts with high incidence rate of EC, i.e., Dashlibroon and Maravehtappeh were collected, analyzed and compared with the low incidence control area (Gorgan). The results clearly indicate higher quartz and zircon minerals content in Dashlibroon and Maravehtappeh compared with Gorgan control area, revealing a probable link between direct and indirect ingestion of these abrading and lesion-forming minerals with EC incidence rate in the area. Gradual decrease of the extent and thickness of loess deposits and resistant heavy minerals content from Maravehtappeh and Dashlibroon towards Gorgan (control area) further confirms the suggested link.http://ijsts.shirazu.ac.ir/article_2273_6929b402e60b25418b728fed71c2e8ab.pdf2014-09-01T11:23:202018-08-15T11:23:2028128710.22099/ijsts.2014.2273Loess depositsesophageal cancerGolestan provinceIranB.Keshavarzitrue1Department of Earth Sciences, College of Sciences, Shiraz University, Shiraz, IranDepartment of Earth Sciences, College of Sciences, Shiraz University, Shiraz, IranDepartment of Earth Sciences, College of Sciences, Shiraz University, Shiraz, IranLEAD_AUTHORORIGINAL_ARTICLEApproximation effects on control charts for process monitoringIn Statistical quality control a very widely used measure is average run length (ARL) which may be worked out by different methods like integral equation, approximations, and Monte Carlo simulations. The ARL measure and the other related measures are of major significance in every type of production process. An omission in its computation (and hence its related measures such as extra quadratic loss (EQL)) may cause a loss. This necessitates great care in the choice of its evaluation method. This article will deal with this issue using some approximation methods and the Monte Carlo simulations. The discrepancies among the results will be examined to highlight the deficiencies of using approximation methods in quality control techniques.http://ijsts.shirazu.ac.ir/article_2274_510ff520698f65a22117edee98ff6e2c.pdf2014-09-01T11:23:202018-08-15T11:23:2028929410.22099/ijsts.2014.2274Approximationsaverage run length (arl)process parametersstatistical process control (spc)simulations- chartM.Riaztrue1Department of Mathematics and Statistics, King Fahd University of
Petroleum and Minerals, Dhahran, 31261, Saudi ArabiaDepartment of Mathematics and Statistics, King Fahd University of
Petroleum and Minerals, Dhahran, 31261, Saudi ArabiaDepartment of Mathematics and Statistics, King Fahd University of
Petroleum and Minerals, Dhahran, 31261, Saudi ArabiaLEAD_AUTHOR